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Viewing report
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Application of Constructive Neural Networks to
America's Cup Yacht. Edition No. 1
VDM Publishing House, May 2009, Pages: 56
This work presents a Neural Network-based performance
analysis and optimization of sailing configurations
of an America’s Cup yacht. The analysis is based on
experimental data only, gathered from the sailing
records provided by the onboard telemetry to train
the neural networks. The focus of the work is on the
performance analysis, with the objective of
maximizing boat speed (objective function) by varying
the sailing setups (design variables). The neural
network based on the experimental data is coupled
with a genetic algorithm to determine the maximum
boat speed and corresponding yacht settings at
various wind speeds.
More importantly, however, the paper demonstrates
that multiple yacht sailing configurations can be
analyzed instantaneously on a regular PC, thus
providing a valuable analysis and prediction tool for
the design and sailing teams.
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